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On Assessing Surrogacy in a Single Trial Setting Using a Semicompeting Risks Paradigm

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  • Debashis Ghosh

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  • Debashis Ghosh, 2009. "On Assessing Surrogacy in a Single Trial Setting Using a Semicompeting Risks Paradigm," Biometrics, The International Biometric Society, vol. 65(2), pages 521-529, June.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:2:p:521-529
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01109.x
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    References listed on IDEAS

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    1. Constantine E. Frangakis & Donald B. Rubin, 2002. "Principal Stratification in Causal Inference," Biometrics, The International Biometric Society, vol. 58(1), pages 21-29, March.
    2. Debashis Ghosh, 2008. "Semiparametric Inference for Surrogate Endpoints with Bivariate Censored Data," Biometrics, The International Biometric Society, vol. 64(1), pages 149-156, March.
    3. Weijing Wang, 2003. "Estimating the association parameter for copula models under dependent censoring," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(1), pages 257-273, February.
    4. Peng, Limin & Fine, Jason P., 2006. "Rank Estimation of Accelerated Lifetime Models With Dependent Censoring," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1085-1093, September.
    5. Junni L. Zhang & Donald B. Rubin, 2003. "Estimation of Causal Effects via Principal Stratification When Some Outcomes are Truncated by “Deathâ€," Journal of Educational and Behavioral Statistics, , vol. 28(4), pages 353-368, December.
    6. Zhezhen Jin, 2003. "Rank-based inference for the accelerated failure time model," Biometrika, Biometrika Trust, vol. 90(2), pages 341-353, June.
    7. Tomasz Burzykowski & Geert Molenberghs & Marc Buyse & Helena Geys & Didier Renard, 2001. "Validation of surrogate end points in multiple randomized clinical trials with failure time end points," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 50(4), pages 405-422.
    8. Yue Wang & Jeremy M. G. Taylor, 2002. "A Measure of the Proportion of Treatment Effect Explained by a Surrogate Marker," Biometrics, The International Biometric Society, vol. 58(4), pages 803-812, December.
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    Cited by:

    1. Debashis Ghosh & Jeremy M. G. Taylor & Daniel J. Sargent, 2012. "Meta-analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling," Biometrics, The International Biometric Society, vol. 68(1), pages 226-232, March.
    2. John O'Quigley & Philippe Flandre, 2012. "Discussion by O'Quigley and Flandre," Biometrics, The International Biometric Society, vol. 68(1), pages 242-244, March.
    3. Layla Parast & Lu Tian & Tianxi Cai, 2020. "Assessing the value of a censored surrogate outcome," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 26(2), pages 245-265, April.
    4. Debashis Ghosh, 2016. "A Modified Risk Set Approach to Biomarker Evaluation Studies," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 8(2), pages 395-406, October.
    5. Debashis Ghosh & Jeremy M. G. Taylor & Daniel J. Sargent, 2012. "Rejoinder for “Meta-analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling”," Biometrics, The International Biometric Society, vol. 68(1), pages 245-247, March.
    6. Ghosh, Debashis, 2012. "A causal framework for surrogate endpoints with semi-competing risks data," Statistics & Probability Letters, Elsevier, vol. 82(11), pages 1898-1902.
    7. Menggang Yu & Constantin T. Yiannoutsos, 2015. "Marginal and Conditional Distribution Estimation from Double-sampled Semi-competing Risks Data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 87-103, March.
    8. Huazhen Lin & Ling Zhou & Chunhong Li & Yi Li, 2014. "Semiparametric transformation models for semicompeting survival data," Biometrics, The International Biometric Society, vol. 70(3), pages 599-607, September.

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